Postdoctoral Fellow

Job Description United Arab Emirates University (UAEU) invites applications for a highly motivated Postdoctoral Fellow to join the Emirates Center for Mobility Research (ECMR) and contribute to the project “Smart Climate\-Adaptive Mobility Digital Twin for Sustainable, Safe, and Inclusive Urban Mobility.” The project will develop and validate a real\-time AI\-enabled digital twin that integrates traffic, public\-transport, parking, incident, weather, environmental, accessibility, pedestrian\-exposure, and electric\-vehicle charging data within one urban mobility intelligence framework. The successful candidate will lead advanced research in multimodal data fusion, dynamic graph modelling, climate\-aware spatio\-temporal learning, federated intelligence, uncertainty quantification, explainable AI, and multi\-objective optimisation. The platform will forecast mobility and climate\-related risks, support simulation of adaptive interventions, and deliver a validated prototype, analytics dashboard, scholarly outputs, and potential intellectual property. Minimum Qualification * ⁠ ⁠A PhD in Computer Science, Artificial Intelligence, Data Science, Computer Engineering, Electrical Engineering, Software Engineering, Civil or Transportation Engineering, or a closely related quantitative discipline from an accredited university. •⁠ ⁠Demonstrated research experience in machine learning or deep learning, including spatio\-temporal modelling, graph learning, sequence modelling, multimodal learning, time\-series forecasting, or intelligent decision systems. •⁠ ⁠Strong Python programming skills and hands\-on experience with deep\-learning frameworks such as PyTorch or TensorFlow. •⁠ ⁠Experience analysing and managing large, heterogeneous, time\-series, spatial, geospatial, sensor, or mobility datasets. •⁠ ⁠A strong record of peer\-reviewed research publications and the ability to prepare high\-quality scientific manuscripts and technical reports. •⁠ ⁠Excellent written and spoken English, strong analytical and organisational skills, and the ability to work independently and within a multidisciplinary team while meeting project milestones. Preferred Qualification * ⁠ ⁠Experience in digital twins, intelligent transportation systems, smart\-city mobility, traffic safety, transportation analytics, or connected and autonomous mobility. •⁠ ⁠Experience with graph neural networks, temporal attention or transformer models, multi\-task learning, federated learning, explainable AI, privacy\-preserving analytics, or uncertainty\-aware prediction. •⁠ ⁠Knowledge of multi\-objective optimisation, reinforcement learning, control, simulation\-based decision support, or operations research. •⁠ ⁠Experience with IoT or sensor integration, edge/cloud computing, real\-time data pipelines, dashboards, or deployment\-oriented AI systems. •⁠ ⁠Familiarity with GIS, climate or weather data, environmental monitoring, EV\-charging systems, accessibility analysis, or hot\-climate urban operations. •⁠ ⁠Evidence of interdisciplinary or international collaboration, funded\-project experience, stakeholder engagement, patents, software prototypes, or research commercialisation. Expected Skills * ⁠ ⁠Advanced research design, critical analysis, experimental planning, benchmarking, quantitative evaluation, and scientific reproducibility. •⁠ ⁠Strong project\-management, communication, presentation, documentation, version\-control, and interpersonal skills. •⁠ ⁠Ability to translate complex technical results into actionable information for researchers, planners, operators, and policy stakeholders. •⁠ ⁠Ability to mentor junior researchers and contribute positively to a collaborative, multidisciplinary research culture. Special Instructions to Applicant Salary Range 17500 AED Close Date Kindly apply before the closing date. 31/12/2026